AI might be great at helping engineers write code, but it’s creating a new problem – all that code still needs to be reviewed by humans. CodeAnt AI is stepping in with a solution that uses AI to tackle the review process itself. CodeAnt AI’s platform plugs right into GitHub, GitLab, Bitbucket, and Azure DevOps, giving developers instant feedback on their code across more than 30 programming languages. More impressively, it doesn’t just find problems – it suggests fixes that developers can apply with a single click, turning reviews that used to take hours into proactive quick, five-minute sessions. For companies racing to get products out the door, this means fewer delays and higher quality code. It also means cost savings – fixing problems during code reviews costs 10x less compared to fixing them later during CI/CD or after production deployments. What makes CodeAnt AI different is the technology under the hood. The company built a proprietary language-agnostic AST engine that actually understands how different parts of a codebase connect, letting it spot issues that isolated code reviews would miss. The platform also pulls in data from major security databases and lets companies set up their own rules based on their specific needs. For security-conscious organizations, CodeAnt AI can run entirely within their own infrastructure, ensuring code never leaves their environment. It’s proven to help enterprises reduce manual code review time by over 50%.